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Fighting Blood Diseases with AI

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Research
03 December 2021
Every day, cytologists around the world use optical microscopes to analyze and classify samples of bone marrow cells thousands of times. This method to diagnose blood diseases was established more than 150 years ago, but it suffers from being very complex. Looking for rare but diagnostically important cells is both a laborious and time-consuming task.
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Virtual Reality Tool to be Used in the Fight Against Disease

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Research
26 November 2021
Science has the technology to measure the activity of every gene within a single individual cell, and just one experiment can generate thousands of cells worth of data. Researchers at Lund University in Sweden have now revolutionised the way this data is analysed - by using 3D video gaming technology. The study is published in the journal iScience.
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Development of AI Technology for Producing CT Images Based on MRI

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Research
10 November 2021
Transcranial focused ultrasound can be used to treat degenerative movement disorders, intractable pain, and mental disorders by delivering ultrasound energy to a specific area of the brain without opening the skull. This treatment must be performed with an image-based technology that can locate the brain lesions. Doctors typically use CT to obtain information about a patient's skull that is difficult to identify with MRI alone and to accurately focus the ultrasound on the lesions through the skull.
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New App Helps Parents Identify Treatable Childhood Growth Disorders Earlier

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Research
09 November 2021
A ground-breaking new, mobile phone app, 'GrowthMonitor' places the accurate measurement of children's height in the hands of parents and carers. Preliminary data to be presented at the Society for Endocrinology annual conference in Edinburgh suggests that the app could reliably identify treatable growth disorders, much earlier, with significant improvements in child health.
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Tulane University Study Uses AI to Detect Colorectal Cancer

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Research
08 November 2021
A Tulane University researcher found that artificial intelligence (AI) can accurately detect and diagnose colorectal cancer from tissue scans as well or better than pathologists, according to a new study in the journal Nature Communications.

The study, which was conducted by researchers from Tulane, Central South University in China, the University of Oklahoma Health Sciences Center, Temple University, and Florida State University, was designed to test whether AI could be a tool to help pathologists keep pace with the rising demand for their services.

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Giving AI Penalties to Get Better Diagnoses

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Research
03 November 2021
Anyone waiting for the results of a medical test knows the anxious question: 'Will my life change completely when I know?' And the relief if you test negative.

Nowadays, Artificial Intelligence (AI) is deployed more and more to predict life-threatening disease. But there remains a big challenge in getting the Machine Learning (ML) algorithms precise enough.

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All About Eve

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Research
29 October 2021
No two human beings are the same, a biologic singularity encoded in the unique arrangement of the molecules that make up our individual DNA.

Variation is a cardinal feature of biology, the driver of diversity, and the engine of evolution, but it has a dark side. Alterations in DNA sequences and the resulting proteins that build our cells can sometimes lead to profound disruptions in physiologic function and cause disease.

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More eHealth News ...

  1. New X-ray Technology: Dark-Field X-ray Technology Improves Diagnosis of Pulmonary Ailments
  2. New Computer Modelling could Boost Drug Discovery
  3. Apple Watch Study Provides an Unprecedented Look at the Health Status of a Diverse Patient Population
  4. Worth a Thousand Words: Automated Diagnosis of COVID-19 from Chest CTs
  5. New Program can Help COVID Alert App Improve Vaccination Campaigns
  6. Ear Sensor Enables Safe Telemedical Care for COVID-19 Risk Patients
  7. Scientists Show How AI may Spot Unseen Signs of Heart Failure
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